CN110939040A - Roadbed compaction quality detection method and system based on modal parameter identification - Google Patents
Roadbed compaction quality detection method and system based on modal parameter identification Download PDFInfo
- Publication number
- CN110939040A CN110939040A CN201911214031.6A CN201911214031A CN110939040A CN 110939040 A CN110939040 A CN 110939040A CN 201911214031 A CN201911214031 A CN 201911214031A CN 110939040 A CN110939040 A CN 110939040A
- Authority
- CN
- China
- Prior art keywords
- compaction
- road roller
- vibration
- roller
- parameter identification
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
- E01C19/00—Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving
- E01C19/22—Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving for consolidating or finishing laid-down unset materials
- E01C19/23—Rollers therefor; Such rollers usable also for compacting soil
- E01C19/28—Vibrated rollers or rollers subjected to impacts, e.g. hammering blows
- E01C19/288—Vibrated rollers or rollers subjected to impacts, e.g. hammering blows adapted for monitoring characteristics of the material being compacted, e.g. indicating resonant frequency, measuring degree of compaction, by measuring values, detectable on the roller; using detected values to control operation of the roller, e.g. automatic adjustment of vibration responsive to such measurements
Landscapes
- Engineering & Computer Science (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Road Paving Machines (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The invention discloses a roadbed compaction quality detection method and a roadbed compaction quality detection system based on modal parameter identification, wherein position information and vibration signals in the compaction operation process of a road roller are obtained, and frequency domain analysis is carried out to obtain frequency domain signals; identifying the system natural frequency of the road roller-soil body vibration system in the frequency domain signal by a modal parameter identification method, judging the change of the rigidity of the road roller-soil body vibration system through the change of the natural frequency of the road roller-soil body vibration system, and judging the change of the compaction mass of the compacted body through the change of the system rigidity; the continuous, accurate and real-time compaction degree detection of the roadbed is realized, the compaction quality of each point is effectively reflected, and the roadbed compaction quality is really judged.
Description
Technical Field
The disclosure relates to the technical field of road construction, in particular to a roadbed compaction quality detection method and system based on modal parameter identification.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In highway engineering, the influence of roadbed compaction on road construction quality is of great importance. The traditional compaction quality detection method belongs to a point type control method, and comprises a deflection method, a bearing plate method, a nuclear density instrument method and the like, and the methods have certain defects: time and labor are wasted, sampling points are few, and the compaction quality of each point is difficult to reflect; the compaction quality can not be fed back in real time in the road compaction process, and the phenomenon of overvoltage or undervoltage is easy to generate.
At present, scholars at home and abroad propose a real-time compaction quality detection method based on indexes such as harmonic ratio, vibration modulus, acceleration effective value, foundation reaction force and the like by collecting vibration signals of specific positions of a road roller in a compaction process, but the indexes lack certain physical basis and have unclear knowledge on the feedback vibration signals, so that the subgrade compaction quality is difficult to truly judge due to high fluctuation of the vibration signals in the actual compaction process, and the actual use effect is poor.
In the conventional method for monitoring the information uninterruptedly in the roadbed compaction operation process, whether relevant indexes meet the standard requirements or not is obtained by acquiring the track and the pass of the road roller in the compaction process and then carrying out corresponding analysis. However, this method is only a real-time monitoring of the construction process, i.e. digital (information) construction, and is not a strict intelligent compaction technology, and the roadbed compaction quality cannot be determined in real time.
Disclosure of Invention
In order to solve the problems, the invention provides a roadbed compaction quality detection method and a roadbed compaction quality detection system based on modal parameter identification.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure:
in a first aspect, the present disclosure provides a roadbed compaction quality detection method based on modal parameter identification, including:
acquiring position information and a vibration signal in the compaction operation process of the road roller, filtering the vibration signal, and performing frequency domain analysis on the filtered vibration signal to obtain a frequency domain signal;
identifying system parameters of the road roller-soil body vibration system in the frequency domain signal by adopting a modal parameter identification method to obtain the natural frequency of the system;
judging the change of the rigidity of the road roller-soil body vibration system through the change of the natural frequency of the road roller-soil body vibration system, and judging the compaction mass change of a compacted body through the change of the system rigidity;
obtaining the compaction state evaluation of the compaction area of the current road roller according to the obtained position information of the road roller and the compaction quality change of the current compacted body;
and judging the compaction area which does not meet the compaction degree requirement according to the compaction state evaluation of the current compaction area of the road roller, acquiring the position information of the compaction area of the road roller which does not reach the standard, and controlling the road roller to execute compaction operation.
As possible realization modes, the position information and the vibration signal at the steel wheel in the operation process of the road roller are collected through a GPS positioning device and a vibration signal sensor which are arranged on the road roller; the position information is consistent with the acquisition frequency of the vibration signals, so that the position data corresponds to the vibration signals one to one.
As some possible implementation manners, performing fast fourier transform on the filtered vibration signal, and converting the vibration signal from a time domain signal to a frequency domain signal; wherein, the compaction continuous detection is realized by adopting the fast Fourier transform of overlapped segmentation.
When the compacted body is under-pressure, along with the compaction, the compaction degree of the compacted body is increased, the rigidity of the compacted body is increased, and the natural frequency of a system of the road roller-soil body vibration system is also increased;
when the overpressure is reached, the compaction degree of the compacted body is not increased any more, the rigidity of the compacted body tends to be stable, and the natural frequency of a system of the road roller-soil body vibration system is not increased any more;
and when the increase rate of the natural frequency of the road roller-soil body vibration system is less than 1%, the compactness meets the requirement.
As some possible implementations, the compaction state evaluation is classified into compaction quality grades of under-pressure, compaction complete, and over-pressure.
The method comprises the steps of evaluating the position information of each area and the compaction state of each area in the compaction operation process of the road roller, feeding back the compaction state evaluation result in real time, adjusting the compaction operation process of the road roller in time, finding out the area with relatively weak compaction, and carrying out re-compaction after other possible measures (such as adding water to increase the water content, airing to reduce the water content, or filling filler in a replacement mode) are taken, so that the problems of over-pressure or under-pressure are avoided.
In a second aspect, the present disclosure provides a roadbed compaction quality detection system based on modal parameter identification, including:
the signal acquisition module is used for acquiring position information and vibration signals in the compaction operation process of the road roller, filtering the vibration signals, and performing frequency domain analysis on the filtered vibration signals to obtain frequency domain signals;
the signal identification module is used for identifying system parameters of the road roller-soil vibration system in the frequency domain signal by adopting a modal parameter identification method to obtain the natural frequency of the system;
the compaction quality detection module is used for judging the change of the rigidity of the road roller-soil body vibration system through the change of the natural frequency of the road roller-soil body vibration system and judging the change of the compaction quality of the compacted body through the change of the system rigidity;
the compaction quality judgment module is used for obtaining the compaction state evaluation of the compaction area of the current road roller according to the acquired position information of the road roller and the change of the compaction quality of the current compacted entity;
and the control module is used for judging the compaction area which does not meet the compaction degree requirement according to the compaction state evaluation of the current compaction area of the road roller, acquiring the position information of the compaction area of the road roller which does not reach the standard and controlling the road roller to execute compaction operation.
In the signal acquisition module, a traction roller is connected to a vibration wheel of the road roller, and a vibration signal sensor is mounted on the traction roller to acquire a vibration signal of the roller in the operation process of the road roller.
As some possible realization modes, the traction type roller is connected with a vibration wheel of the road roller through a steel frame, a shock absorber is arranged at the joint of the traction type roller and the vibration wheel of the road roller, and two ends of the steel frame are both movable rolling shafts;
the traction type roller is of an internal hollow structure, and a vibration signal sensor is arranged in the traction type roller.
In a third aspect, the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of a roadbed compaction quality detection method based on modal parameter identification when executing the program.
In a fourth aspect, the present disclosure provides a computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the steps of a method for detecting compaction quality of a subgrade based on modal parameter identification.
Compared with the prior art, the beneficial effect of this disclosure is:
the method comprises the steps of collecting continuous vibration signals in the compaction operation process of the road roller, and performing system identification on a 'road roller-soil body' vibration system by using a modal parameter identification method to obtain a system rigidity evaluation index capable of reflecting the soil foundation compaction state, so that the compaction quality is accurately fed back in real time;
according to the method, the compaction operation process of the road roller is adjusted in time according to the compaction state evaluation result fed back in real time, the area with relatively weak compaction is found out, and re-compaction is carried out after possible other measures are taken, so that the problem of over-pressure or under-pressure is avoided, and the quality and the efficiency of field construction are improved;
the method effectively reflects the compaction quality of each point by evaluating the position information of each area and the compaction state of each area in the compaction operation process of the road roller;
the intelligent compaction control index detection method and device solve the problems that the current intelligent compaction control index is lack of physical basis and poor in actual operation effect, effectively overcome the defects of the current detection technology, and can be flexibly applied to compaction construction operation in the field of civil engineering.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
FIG. 1 is a schematic flow chart of a roadbed compaction quality detection method based on modal parameter identification;
FIG. 2 is a schematic diagram of a degree of freedom model of a road roller-soil vibration system;
FIG. 3 is a side view of an embodiment of a compaction quality detection system configuration;
wherein, 1, a road roller vibration wheel; 2. a movable roller; 3. a roller; 4. a movable roller with a shock absorber.
The specific implementation mode is as follows:
the present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The detection principle is as follows: during the rolling operation of the road roller, a plurality of excitation components exist in a road roller-soil body vibration system, including self-vibration excitation of a road roller engine and the like, simple harmonic excitation of a steel wheel and road surface unevenness excitation. The exciting components can excite the compacted body to vibrate, and the compacted body continuously vibrates and is compacted to achieve compaction under the combined action of gravity and exciting force. When the excitation frequency is consistent with the natural frequency of the system, the system resonates, the vibration amplitude of the compacted body is large, and a formant is detected in a response frequency domain signal.
For a road roller-soil body vibration system, along with compaction, the soil body compaction degree in the system is increased, the rigidity is increased, and the natural frequency of the system is increased, so that the system is a variable rigidity system. Excitation components such as the natural vibration frequency of an engine, the simple harmonic excitation frequency of a steel wheel and the like are stable excitation frequencies, and the unevenness excitation of the roadbed is stable random excitation, so that the excitation applied to the system can excite the system to generate a resonance phenomenon.
Example 1
The invention provides a roadbed compaction quality detection method based on modal parameter identification, which comprises the following steps:
step 1: collecting position information and vibration signals in the compaction operation process of the road roller, filtering the vibration signals and filtering interference signals;
in the step 1, position information and vibration signals at a steel wheel in the operation process of the road roller are collected through a GPS positioning device and a vibration signal sensor which are arranged on the road roller; the position information is consistent with the acquisition frequency of the vibration signals, so that the position data is in one-to-one correspondence with the vibration signals;
the vibration response signal comprises a system excitation component and a system inherent property component, so that the vibration response signal needs to be filtered, including the filtering of the simple harmonic excitation frequency of the steel wheel and the engine excitation frequency; after filtering, the response signal only contains components reflecting the inherent properties of the system and smooth random excitation.
The GPS positioning device arranged on the road roller can support Beidou, GPS and GLONASS systems, and can accurately acquire position information of the road roller in the operation process.
In the step 1, the installation position of the vibration signal sensor on the road roller can be a steel wheel, a cab or other positions. The mounting position can determine the optimal distribution point through a pre-experiment, and the optimal distribution point meets the requirement that a response signal containing a first-order natural frequency formant of the system can be measured;
the vibration signal sensor can adopt a speed measurement method or an acceleration measurement method to acquire vibration signals, the speed measurement method is preferably adopted in the embodiment, and the sampling frequency of the vibration signal sensor is not lower than 200 Hz;
the frequency range of the first-order natural frequency of the system can be determined by an experimental section, the approximate range is 5-20 Hz, the natural vibration frequency of an engine can be acquired when the road roller does not travel, and the simple harmonic excitation of the steel wheel is determined according to the working frequency of the road roller.
In the step 1, filtering is carried out on the collected vibration signals, interference signals irrelevant to roadbed compaction quality are filtered, and time domain signals only containing soil body vibration information are obtained;
the collected vibration signals comprise various signal components such as natural vibration frequency of a road roller engine and the like, steel wheel simple harmonic excitation, roadbed unevenness excitation, roadbed vibration response related vibration signals and the like, and components irrelevant to the compacted body vibration response signals are removed through signal filtering;
in addition, the vibration sensor of the vibration wheel can capture relevant vibration information, so that the interference components of vibration signals are more, the fluctuation is high, and the real vibration state of the soil body is difficult to reflect really.
The signal filtering treatment can adopt a band-stop filter and a low-pass filter to filter the natural vibration frequency of the engine and the simple harmonic excitation frequency of the steel wheel.
Step 2: carrying out frequency domain analysis on the filtered vibration signal to obtain a frequency domain signal;
in the step 2, the filtered vibration signal is subjected to fast Fourier transform, and the vibration signal is converted from a time domain signal to a frequency domain signal; wherein, the compaction continuous detection is realized by adopting the fast Fourier transform of overlapped segmentation.
The vibration signal is processed by fast fourier transform using 1024 bytes of data segmented in overlapping manner, and in this embodiment, a segmentation manner of half overlapping is selected.
And step 3: identifying system parameters of a road roller-soil body vibration system in a frequency domain signal by using a modal parameter identification method to obtain the natural frequency of the system;
and 4, step 4: judging the change of the rigidity of the road roller-soil body vibration system by using a modal parameter identification method through the change of the natural frequency of the road roller-soil body vibration system, and judging the change of the compaction mass of the compacted body through the change of the system rigidity;
the influence of system damping on the natural frequency of the road roller-soil body vibration system is small, and the natural frequency of the system can be obtained by solving an undamped free vibration equation under the condition of meeting engineering requirements.
The differential equation of the vibration of the n-degree-of-freedom system is as follows:
the differential equation of the free vibration of the n-degree-of-freedom system is as follows:
in the above formula, M is the mass matrix, K is the stiffness matrix, x is the displacement column vector,
is the acceleration array vector, and f (t) is the excitation force array.
Carry over the above formula into special solution x ═ Φ ejwtWhere Φ is the magnitude column vector, resulting in:
(K-w2M)Φ＝0
when phi is a non-zero column vector, the equation is a generalized eigenvalue problem, w is an eigenvalue, and phi is an eigenvector.
A sufficient requirement for the non-zero solution of the equation is that its coefficient matrix determinant is zero:
solving a characteristic equation to obtain a relation w2Is used as the algebraic equation of degree n. Assuming no multiple roots, n distinct positive roots for w can be obtained, sorted in order of magnitude as follows:
0＜w1＜w2＜…＜wn
in this embodiment, the mechanical model of the actual road roller and the pressed entity can be simplified into a two-degree-of-freedom model:
solving to obtain the natural frequency of the system:
s＝(m1+m2+m3)k1+m1k2
wherein m is1For upper frame mass, m2For the mass of the vibrating wheel, m3Mass of soil body along with vibration, k1For vibration-wheel damper stiffness, k2The rigidity of the steel wheel and the soil foundation coupling.
According to the modal parameter identification method, only the rigidity and the damping of the soil body in the road roller-soil body vibration system are changed in the compaction process, and the change of the soil body characteristic can cause the system characteristic of the road roller-soil body vibration system to be changed. When the compacted body is under-pressure, the compaction degree of the compacted body is increased along with the progress of compaction, the rigidity of a road roller-soil body vibration system is increased, and the inherent frequency of the system is increased; when the overpressure is reached, the compaction degree of a compacted body is not increased any more, the system rigidity tends to be stable, and the system natural frequency of the road roller-soil body vibration system is not increased any more.
Therefore, the current compaction state of the compacted body can be judged by identifying the change condition of the first-order natural frequency of the system. When the compacted body is loose, the degree of compaction is increased and the first-order natural frequency of the system is increased along with the progress of compaction; when an overpressure is reached, the degree of compaction does not increase any more, nor does the first order natural frequency of the system increase. And in the later stage of the compaction stage, when the increase rate of the natural frequency of the first stage of the system between two continuous compaction passes is less than 1%, the compaction degree is regarded as being up to the requirement.
And (4) integrating the above steps, intelligently identifying the natural frequency of the system in a signal frequency domain by adopting an intelligent algorithm, further obtaining the modal stiffness of the system, and judging the compaction quality of the compacted body according to the modal stiffness.
And 5: obtaining the compaction state evaluation of the compaction area of the road roller according to the obtained position information of the road roller and the change of the compaction quality of the compacted body;
and judging the compaction area which does not reach the compaction degree requirement according to the compaction state evaluation of the compaction area of the road roller, acquiring the position information of the compaction area of the road roller which does not reach the standard, and controlling the road roller to execute compaction operation.
The compaction state evaluation is divided into the compaction quality grades of under-pressure, compaction completion and over-pressure;
and according to the compaction state obtained by judgment, when the current roadbed compaction does not reach the standard, giving position information of a related area at the same time, and guiding an operator to continue rolling until the compaction degree requirement is reached.
Example 2
The present disclosure provides a roadbed compaction quality detection system based on modal parameter identification, comprising,
the signal acquisition module is used for acquiring position information and vibration signals in the compaction operation process of the road roller, filtering the vibration signals, and performing frequency domain analysis on the filtered vibration signals to obtain frequency domain signals;
the signal identification module is used for identifying system parameters of the road roller-soil vibration system in the frequency domain signal by adopting a modal parameter identification method to obtain the natural frequency of the system;
the compaction quality detection module is used for judging the change of the rigidity of the road roller-soil body vibration system through the change of the natural frequency of the road roller-soil body vibration system and judging the change of the compaction quality of the compacted body through the change of the system rigidity;
the compaction quality judgment module is used for obtaining the compaction state evaluation of the compaction area of the current road roller according to the acquired position information of the road roller and the change of the compaction quality of the current compacted entity;
and the control module is used for judging the compaction area which does not meet the compaction degree requirement according to the compaction state evaluation of the current compaction area of the road roller, acquiring the position information of the compaction area of the road roller which does not reach the standard and controlling the road roller to execute compaction operation.
In the signal acquisition module, position information and vibration signals at a steel wheel in the operation process of the road roller are acquired through a GPS positioning device and a vibration signal sensor which are installed on the road roller, and the installation position of the vibration signal sensor on the road roller can be the steel wheel, a cab or other positions.
In the embodiment, a vibration signal sensor is arranged on a traction type roller, the traction type roller is connected with a vibration wheel steel frame of the road roller through a small rigid frame, and a vibration signal of the roller in the operation process of the road roller is collected;
the traction type roller can be regarded as being tightly attached to the compacted body, so that the vibration signal captured by the traction type roller can be regarded as the vibration signal of the soil body.
As shown in fig. 3, a shock absorber is arranged at the joint of the traction type roller and the vibration wheel of the road roller, and vibration conduction of the vibration wheel is effectively isolated through vibration reduction connection; and the two ends of the steel frame are both movable rolling shafts, so that the vibration interference of the steel frame to the rolling wheels is effectively reduced, and the self-vibration interference signal of the road roller is reduced;
the traction type roller is of an internal hollow structure, a vibration signal sensor and an acquisition system are arranged in the traction type roller, the installation position of the traction type roller can determine the optimal distribution point through a pre-experiment, and the optimal distribution point meets the requirement of measuring a response signal of a natural frequency formant of the system; the acquisition system transmits the acquired vibration signals to a cab of the road roller in a wireless mode, and a PC end of the cab processes the signals and judges the compaction quality of the next step.
The vibration signal sensor may use a velocity measurement method or an acceleration measurement method. In the embodiment, a speed measuring method is selected, the sampling frequency of the vibration signal sensor is not lower than 200Hz, the sampling frequency of 200Hz is selected in the embodiment, the frequency range of the natural frequency of the system can be determined by an experimental road section, and the approximate range is 5-20 Hz.
The vibration signal is subjected to filtering processing, the frequency domain analysis is carried out on the filtered vibration signal, and the signal filtering processing can adopt a band-stop filter and a low-pass filter to filter the self-vibration frequency of the engine and the simple harmonic excitation frequency of the steel wheel;
and performing fast Fourier transform on the filtered vibration signals, wherein the vibration signals are subjected to fast Fourier transform processing by adopting data which is overlapped and segmented and has the length of 1024. In this embodiment, a half-overlapped segmentation mode is selected.
In the compaction quality detection module, a modal parameter identification method is used for identifying system parameters of a road roller-soil body vibration system in a frequency domain signal to obtain the natural frequency of the system; the change of the natural frequency of the system can be inverted to obtain the change of the rigidity of the system. For the traction type roller-soil body system, the soil body rigidity is variable in the compaction process. Therefore, the compaction state of the current lane can be represented by the change of the natural frequency of the system and the change of the rigidity of the system.
And (4) combining the position information acquired by the road roller, giving the compaction state evaluation of the current compaction area, and giving the classification of the compaction state grades of under-pressure, compaction completion and over-pressure to guide an operator to carry out compaction operation.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (10)
1. A roadbed compaction quality detection method based on modal parameter identification is characterized by comprising the following steps:
acquiring position information and a vibration signal in the compaction operation process of the road roller, filtering the vibration signal, and performing frequency domain analysis on the filtered vibration signal to obtain a frequency domain signal;
identifying system parameters of the road roller-soil body vibration system in the frequency domain signal by adopting a modal parameter identification method to obtain the natural frequency of the system;
judging the change of the rigidity of the road roller-soil body vibration system through the change of the natural frequency of the road roller-soil body vibration system, and judging the change of the compaction mass of the compacted body through the change of the system rigidity;
obtaining the compaction state evaluation of the compaction area of the current road roller according to the obtained position information of the road roller and the change of the compaction quality of the current compacted entity;
and judging the compaction area which does not meet the compaction degree requirement according to the compaction state evaluation of the current compaction area of the road roller, acquiring the position information of the compaction area of the road roller which does not reach the standard, and controlling the road roller to execute compaction operation.
2. The roadbed compaction quality detection method based on the modal parameter identification is characterized in that,
collecting position information and vibration signals at a vibration wheel in the operation process of the road roller through a GPS positioning device and a vibration signal sensor which are arranged on the road roller; the position information is consistent with the acquisition frequency of the vibration signals, so that the position data corresponds to the vibration signals one to one.
3. The roadbed compaction quality detection method based on the modal parameter identification is characterized in that,
carrying out fast Fourier transform on the filtered vibration signal, and converting the vibration signal from a time domain signal to a frequency domain signal; wherein, the compaction continuous detection is realized by adopting the fast Fourier transform of overlapped segmentation.
4. The roadbed compaction quality detection method based on the modal parameter identification is characterized in that,
when the compacted body is under-pressure, along with the compaction, the compaction degree of the compacted body is increased, the rigidity of the compacted body is increased, and the natural frequency of a system of the road roller-soil body vibration system is also increased;
when the overpressure is reached, the compaction degree of the compacted body is not increased any more, the rigidity of the compacted body tends to be stable, and the natural frequency of a system of the road roller-soil body vibration system is not increased any more;
and when the increase rate of the natural frequency of the road roller-soil body vibration system is less than 1%, the compactness meets the requirement.
5. The roadbed compaction quality detection method based on the modal parameter identification is characterized in that,
and the compaction state evaluation is divided into the compaction quality grades of under-pressure, compaction completion and over-pressure.
6. A roadbed compaction quality detection system based on modal parameter identification is characterized by comprising:
the signal acquisition module is used for acquiring position information and vibration signals in the compaction operation process of the road roller, filtering the vibration signals, and performing frequency domain analysis on the filtered vibration signals to obtain frequency domain signals;
the signal identification module is used for identifying system parameters of the road roller-soil vibration system in the frequency domain signal by adopting a modal parameter identification method to obtain the natural frequency of the system;
the compaction quality detection module is used for judging the change of the rigidity of the road roller-soil body vibration system through the change of the natural frequency of the road roller-soil body vibration system and judging the change of the compaction quality of the compacted body through the change of the system rigidity;
the compaction quality judgment module is used for obtaining the compaction state evaluation of the compaction area of the current road roller according to the acquired position information of the road roller and the change of the compaction quality of the current compacted entity;
and the control module is used for judging the compaction area which does not meet the compaction degree requirement according to the compaction state evaluation of the current compaction area of the road roller, acquiring the position information of the compaction area of the road roller which does not reach the standard and controlling the road roller to execute compaction operation.
7. The system of claim 6, wherein the modal parameter identification-based roadbed compaction quality detection system is characterized in that,
in the signal acquisition module, a traction type roller is connected to a vibration wheel of the road roller, and a vibration signal sensor is mounted on the traction type roller to acquire a vibration signal of the roller in the operation process of the road roller.
8. The system of claim 7, wherein the modal parameter identification-based roadbed compaction quality detection system is characterized in that,
the traction type roller is connected with a road roller vibration wheel through a steel frame, a shock absorber is arranged at the joint of the traction type roller and the road roller vibration wheel, and two ends of the steel frame are both movable rolling shafts;
the traction type roller is of an internal hollow structure, and a vibration signal sensor is arranged in the traction type roller.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements a method of roadbed compaction quality detection based on modal parameter identification as claimed in any one of claims 1 to 5.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method according to any one of claims 1 to 5 for roadbed compaction quality detection based on modal parameter identification.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911214031.6A CN110939040B (en) | 2019-12-02 | 2019-12-02 | Roadbed compaction quality detection method and system based on modal parameter identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911214031.6A CN110939040B (en) | 2019-12-02 | 2019-12-02 | Roadbed compaction quality detection method and system based on modal parameter identification |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110939040A true CN110939040A (en) | 2020-03-31 |
| CN110939040B CN110939040B (en) | 2021-01-01 |
Family
ID=69908832
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911214031.6A Active CN110939040B (en) | 2019-12-02 | 2019-12-02 | Roadbed compaction quality detection method and system based on modal parameter identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110939040B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113358209A (en) * | 2021-06-09 | 2021-09-07 | 徐工集团工程机械股份有限公司道路机械分公司 | 'machine-soil' resonance frequency measuring method, control system and road roller |
| CN113668332A (en) * | 2021-07-30 | 2021-11-19 | 中国建筑第八工程局有限公司 | Roadbed compaction quality detection device and method |
| CN113792441A (en) * | 2021-09-28 | 2021-12-14 | 徐工集团工程机械股份有限公司道路机械分公司 | Method for establishing digital model of road roller vibration system |
| WO2022099992A1 (en) * | 2020-11-13 | 2022-05-19 | 徐工集团工程机械股份有限公司道路机械分公司 | Variable amplitude control method, device and system for vibratory roller, and road roller |
| CN114693024A (en) * | 2020-12-29 | 2022-07-01 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Method and device for evaluating continuous compaction of high-speed railway roadbed |
| CN114855743A (en) * | 2022-04-27 | 2022-08-05 | 交通运输部公路科学研究所 | Device and method for monitoring soil foundation compactness of airport assembly type runway |
| CN115620521A (en) * | 2022-10-20 | 2023-01-17 | 山东大学 | Dynamic channelized traffic adjusting method and system for multi-lane highway |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003166232A (en) * | 2001-09-20 | 2003-06-13 | Taisei Corp | Compaction control device |
| CN202595598U (en) * | 2012-05-22 | 2012-12-12 | 杨人凤 | Rolling operation quality monitor for road roller |
| CN103850241A (en) * | 2014-02-20 | 2014-06-11 | 天津大学 | Earth and rockfill dam milling excitation frequency and excitation force real-time monitoring system and monitoring method |
| CN106677032A (en) * | 2017-03-07 | 2017-05-17 | 陕西中大机械集团有限责任公司 | Excitation force control system and excitation force control method of intelligent steering vibratory roller |
| CN108060629A (en) * | 2017-12-15 | 2018-05-22 | 同济大学 | Acquisition method/system, monitoring system, medium and the terminal of road base compacting situation |
| CN109596202A (en) * | 2018-12-11 | 2019-04-09 | 南京天辰礼达电子科技有限公司 | A kind of vibration rolling vibration information real time detection algorithm based on acceleration value |
| CN110133099A (en) * | 2019-05-11 | 2019-08-16 | 四川大学 | Rock-fill dams Controls for Compaction Quality based on soil resonance frequency |
-
2019
- 2019-12-02 CN CN201911214031.6A patent/CN110939040B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003166232A (en) * | 2001-09-20 | 2003-06-13 | Taisei Corp | Compaction control device |
| CN202595598U (en) * | 2012-05-22 | 2012-12-12 | 杨人凤 | Rolling operation quality monitor for road roller |
| CN103850241A (en) * | 2014-02-20 | 2014-06-11 | 天津大学 | Earth and rockfill dam milling excitation frequency and excitation force real-time monitoring system and monitoring method |
| CN106677032A (en) * | 2017-03-07 | 2017-05-17 | 陕西中大机械集团有限责任公司 | Excitation force control system and excitation force control method of intelligent steering vibratory roller |
| CN108060629A (en) * | 2017-12-15 | 2018-05-22 | 同济大学 | Acquisition method/system, monitoring system, medium and the terminal of road base compacting situation |
| CN109596202A (en) * | 2018-12-11 | 2019-04-09 | 南京天辰礼达电子科技有限公司 | A kind of vibration rolling vibration information real time detection algorithm based on acceleration value |
| CN110133099A (en) * | 2019-05-11 | 2019-08-16 | 四川大学 | Rock-fill dams Controls for Compaction Quality based on soil resonance frequency |
Non-Patent Citations (1)
| Title |
|---|
| 刘军生等: "《大跨空间结构施工监测及健康监测》", 31 July 2017 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022099992A1 (en) * | 2020-11-13 | 2022-05-19 | 徐工集团工程机械股份有限公司道路机械分公司 | Variable amplitude control method, device and system for vibratory roller, and road roller |
| CN114693024A (en) * | 2020-12-29 | 2022-07-01 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Method and device for evaluating continuous compaction of high-speed railway roadbed |
| CN113358209A (en) * | 2021-06-09 | 2021-09-07 | 徐工集团工程机械股份有限公司道路机械分公司 | 'machine-soil' resonance frequency measuring method, control system and road roller |
| CN113358209B (en) * | 2021-06-09 | 2024-04-26 | 徐工集团工程机械股份有限公司道路机械分公司 | Machine-soil resonant frequency measuring method, control system and road roller |
| CN113668332A (en) * | 2021-07-30 | 2021-11-19 | 中国建筑第八工程局有限公司 | Roadbed compaction quality detection device and method |
| CN113792441A (en) * | 2021-09-28 | 2021-12-14 | 徐工集团工程机械股份有限公司道路机械分公司 | Method for establishing digital model of road roller vibration system |
| CN114855743A (en) * | 2022-04-27 | 2022-08-05 | 交通运输部公路科学研究所 | Device and method for monitoring soil foundation compactness of airport assembly type runway |
| CN115620521A (en) * | 2022-10-20 | 2023-01-17 | 山东大学 | Dynamic channelized traffic adjusting method and system for multi-lane highway |
| CN115620521B (en) * | 2022-10-20 | 2024-04-26 | 山东大学 | Dynamic channelized traffic adjustment method and system for multi-lane expressway |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110939040B (en) | 2021-01-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110939040B (en) | Roadbed compaction quality detection method and system based on modal parameter identification | |
| CN101446517A (en) | Method for testing vibration of high-tower structure of transmission line | |
| CN102980756B (en) | The method of testing of dynamic stiffness and system | |
| CN102506986B (en) | Test system and method for mode and vibration of self-supporting tower and large-span power transmission tower | |
| CN102621225B (en) | Method for testing damping characteristic parameter of road surface and bridge deck pavement material | |
| CN104457956B (en) | Fundamental frequency identification method in a kind of Cable power detection | |
| CN105000033B (en) | A kind of check and evaluation system of track geometry irregularities | |
| CN109186528B (en) | Theoretical method for determining international flatness index based on acceleration measured by mobile phone | |
| CN205134157U (en) | Intelligence road bed compaction measurement system | |
| CN107938611A (en) | Couple muller vibration dam material compaction quality real-time detection apparatus and method | |
| CN105784347A (en) | System and method for testing dynamic characteristics of helical spring | |
| CN101266190A (en) | Normal traffic flow stayd-cable bridge mode parametric measurement device and method | |
| CN113408204A (en) | Health diagnosis device and method for roadbed service performance | |
| CN113933394A (en) | Integrated compaction sound wave detection system and method for contact type rolling machine | |
| CN101583507A (en) | A method for determining the state of a road surface and method of generating a log over the use of a vehicle. | |
| CN108955983A (en) | Cable tension test method based on the drag-line vibration shape and photogrammetric technology | |
| KR102032490B1 (en) | System for measuring resistance of model ship using active vibration control technology | |
| CN106768767A (en) | A kind of measuring system and measuring method of the bearing block characterisitic parameter based on frequency response function | |
| CN106932162A (en) | Track dynamic stiffness method of testing and system | |
| CN203502186U (en) | Apparatus for measuring mechanical impedance of heald frame | |
| CN105372080B (en) | A kind of tramcar and its embedded tracks Coupled Dynamics test device and method | |
| CN113177242A (en) | Highway foundation continuous compaction monitoring management system | |
| CN106596025A (en) | Highway tunnel hanging fan base stability detection method and system based on impulse response | |
| CN115931054A (en) | Compactness acquisition terminal | |
| CN105606145B (en) | Vehicular crop growing state method for sensing and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200908 Address after: 250000 No. 27 South Grand Road, Shandong, Ji'nan Applicant after: SHANDONG University Applicant after: Shandong high speed Group Co.,Ltd. Address before: 250061, No. ten, No. 17923, Lixia District, Ji'nan City, Shandong Province Applicant before: SHANDONG University Applicant before: QILU TRANSPORTATION DEVELOPMENT GROUP Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |